Lines Matching refs:params

49 def generate(params, args, fpaths):  argument
53     if (params["interpreter"] == "tflite_runtime") and (not tflite_runtime_imported):
56     if (params["interpreter"] == "tflite_micro") and (not tflite_micro_imported):
60     op_type = get_op_type(params["op_type"])
61     shapes = op_type.get_shapes(params)
64     fpaths["data_folder"] = pathlib.Path("TestCases") / "TestData" / params["name"]
70     if params["tflite_generator"] == "keras":
71         keras_model = op_type.generate_keras_model(shapes, params)
75                                 dtype=params["input_data_type"],
76                                 bias_dtype=params["bias_data_type"],
78         data = op_type.generate_data_tflite(fpaths["tflite"], params)
80     elif params["tflite_generator"] == "json":
81         data = op_type.generate_data_json(shapes, params)
84         replacements = {**params, **data.params, **data.scales}
90     params.update(data.params)
95         params[name + "_multiplier"] = mult
96         params[name + "_shift"] = shift
99 …minval = Lib.op_utils.get_dtype_min(params["input_data_type"]) if "input_min" not in params else p…
100 …maxval = Lib.op_utils.get_dtype_max(params["input_data_type"]) if "input_max" not in params else p…
102     dtype = Lib.op_utils.get_tf_dtype(params["input_data_type"])
106     if params["interpreter"] == "tensorflow":
108     elif params["interpreter"] == "tflite_runtime":
110     elif params["interpreter"] == "tflite_micro":
116     header = get_header(params["tflite_generator"], params["interpreter"])
126     config_params = {key: val for key, val in params.items() if include_in_config(key)}
127     write_config(fpaths["config_data"], config_params, params["name"], fpaths["test_data"], header)
130         dtype = Lib.op_utils.get_dtype(name, params)
132         if name == "output" and "out_activation_min" in params and "out_activation_max" in params:
133             tensor = np.clip(tensor, params["out_activation_min"], params["out_activation_max"])
134 …      write_c_array(tensor, fpaths[name], dtype, params["name"], name, fpaths["test_data"], header)
137 …        append_alias_to_c_array_file(fpaths[name], dtype, params["name"], name, data.aliases[name])
221 def write_config(config_fpath, params, prefix, test_data_fpath, header):  argument
226         for key, val in params.items():
310 def convert_json_to_tflite(json_template_fpath, json_output_fpath, tensors, params, schema_path):  argument
321                 for key, val in params.items():
337                         dtype = Lib.op_utils.get_dtype(key, params)